Pay
In line with similar jobs
$116K–$175K against $118K–$194K, the middle half of what similar US postings state.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
New York, NY
Actively hiring, first seen by us 11 days agoDuties: Apply advanced quantitative and statistical methods to support business model development and product innovation. Develop and implement Bayesian models and stochastic simulations to generate insights and predictions, including analyses of user behavior and system performance. Manage projects end-to-end, including data extraction, cleaning, and preparation; model development and validation; and deployment of analytical solutions. Design and develop proof-of-concept applications, as needed, to operationalize and demonstrate modeling results. Prepare and deliver regular reports and presentations summarizing methodologies, progress, and key findings to stakeholders. Salary: $115,835 to $175,000 Requirements: Master’s degree or higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field. Experience completing at least two (2) projects utilizing Bayesian inference, stochastic modeling, or a combination of both, gained in either academic or professional settings. Demonstrated experience developing high-quality functional or object-oriented code, evidenced by approximately 10,000 lines of code written in Python, R, or another programming language suitable for data analytics. Telecommuting permitted.Read the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Develop and implement Bayesian models and stochastic simulations for predictions
Manage projects end-to-end, from data extraction and cleaning to deployment
Apply statistical methods to support business model development and product innovation
Build proof-of-concept applications to demonstrate modeling results
Prepare and present reports on methods, progress and key findings to stakeholders
Develop and implement Bayesian models and stochastic simulations to generate insights and predictions
Manage projects end-to-end, including data extraction, cleaning, and preparation; model development and validation; and deployment of analytical solutions
Apply advanced quantitative and statistical methods to support business model development and product innovation
Design and develop proof-of-concept applications, as needed, to operationalize and demonstrate modeling results
Prepare and deliver regular reports and presentations summarizing methodologies, progress, and key findings to stakeholders
Master’s degree or higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field
Experience completing at least two (2) projects utilizing Bayesian inference, stochastic modeling, or a combination of both
evidenced by approximately 10,000 lines of code written in Python, R, or another programming language suitable for data analytics
Salary: $115,835 to $175,000 Requirements: Master’s degree or higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field. Experience completing at least two (2) projects utilizing Bayesian inference, stochastic modeling, or a combination of both, gained in either academic or professional settings. Demonstrated experience developing high-quality functional or object-oriented code, evidenced by approximately 10,000 lines of code written in Python, R, or another programming language suitable for data analytics. Telecommuting permitted. Contact: Sharon Lee, SVP, People Operations
Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$116K–$175K against $118K–$194K, the middle half of what similar US postings state.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Day 11
Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Salary: $115,835 to $175,000 Requirements: Master’s degree or higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field. Experience completing at least two (2) projects utilizing Bayesian inference, stochastic modeling, or a combination of both, gained in either academic or professional settings. Demonstrated experience developing high-quality functional or object-oriented code, evidenced by approximately 10,000 lines of code written in Python, R, or another programming language suitable for data analytics. Telecommuting permitted. Contact: Sharon Lee, SVP, People Operations
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Position: Staff Data Scientist, Via Transportation, Inc. (New York City, NY) - Telecommuting permitted
Duties: Apply advanced quantitative and statistical methods to support business model development and product innovation. Develop and implement Bayesian models and stochastic simulations to generate insights and predictions, including analyses of user behavior and system performance. Manage projects end-to-end, including data extraction, cleaning, and preparation; model development and validation; and deployment of analytical solutions. Design and develop proof-of-concept applications, as needed, to operationalize and demonstrate modeling results. Prepare and deliver regular reports and presentations summarizing methodologies, progress, and key findings to stakeholders.
Salary: $115,835 to $175,000
Requirements: Master’s degree or higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field. Experience completing at least two (2) projects utilizing Bayesian inference, stochastic modeling, or a combination of both, gained in either academic or professional settings. Demonstrated experience developing high-quality functional or object-oriented code, evidenced by approximately 10,000 lines of code written in Python, R, or another programming language suitable for data analytics. Telecommuting permitted.
Contact: Sharon Lee, SVP, People Operations
Via Transportation, Inc.
114 5th Avenue, 17th Floor
New York, NY, 20022
(888) 501-7511
strategic-growth-us@ridewithvia.com
Via is an equal opportunity employer.
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New York, NY
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